Instructions to use dsfsi/PuoBERTa-POS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/PuoBERTa-POS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dsfsi/PuoBERTa-POS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dsfsi/PuoBERTa-POS") model = AutoModelForTokenClassification.from_pretrained("dsfsi/PuoBERTa-POS") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f73c750dd94d81f79cf0cb27915a1a81aef286a2d944a829e7f575a2b0b78799
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size 331505756
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